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retopologize_character

Creates a non-destructive retopology version of a character with a target face budget, keeping source versions intact for versioned Blender production workflows.

Instructions

Create a non-destructive retopology version with a target face budget.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
request_idYes
character_idYes
project_rootYes
target_facesNo
source_versionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It does add one genuine behavioral fact — the operation is 'non-destructive', i.e. it produces a version rather than overwriting the source — which is real value beyond structured data. However it says nothing about whether this is a long-running/async job (the get_job_status/cancel_job siblings suggest jobs exist), what permissions are needed, or whether source_version must already exist.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single tight sentence with the key scope trait ('non-destructive') front-loaded and no filler. It is appropriately sized for its content, though the brevity is partly under-specification rather than discipline.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The output schema means return values need not be described, but for a 5-parameter, 4-required mutation-style tool with zero schema coverage and no annotations, the description omits required-parameter meaning, optionality of target_faces, and pipeline prerequisites. Not sufficient for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across 5 parameters, so the description must compensate. It only accounts for 'target_faces' via 'target face budget' and does not mention that target_faces is optional (default 12000), nor what project_root, character_id, source_version, or request_id mean or require.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Create a ... retopology version') plus two distinguishing traits: 'non-destructive' and 'target face budget'. It is clearly separable from mesh/rig/groom siblings, though it does not explicitly name an alternative tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no placement in the pipeline (e.g. that it should follow create_character_mesh or a sculpting stage, and precede create_uv_and_materials/rig_character). The agent must infer all sequencing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.